使用新型脑电图机器学习分析方法测试负量化的两步模型

IF 1.6 3区医学 Q2 AUDIOLOGY & SPEECH-LANGUAGE PATHOLOGY

Language Cognition and Neuroscience Pub Date : 2024-04-30 DOI:10.1080/23273798.2024.2345302

S. Ramotowska, K. Archambeau, P. Augurzky, F. Schlotterbeck, H.S. Berberyan, L. Van Maanen, J. Szymanik

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引用次数: 0

摘要

半数以上的学生通过了考试 "和 "不及格的学生少于半数 "这两个句子描述的是同一组情况，但前者的反应时间更短，后者的反应时间更长。

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Testing two-step models of negative quantification using a novel machine learning analysis of EEG

The sentences “More than half of the students passed the exam” and “Fewer than half of the students failed the exam” describe the same set of situations, and yet the former results in shorter react...

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来源期刊

Language Cognition and Neuroscience AUDIOLOGY & SPEECH-LANGUAGE PATHOLOGY-BEHAVIORAL SCIENCES

CiteScore

4.50

自引率

13.00%

发文量

期刊介绍： Language, Cognition and Neuroscience (formerly titled Language and Cognitive Processes) publishes high-quality papers taking an interdisciplinary approach to the study of brain and language, and promotes studies that integrate cognitive theoretical accounts of language and its neural bases. We publish both high quality, theoretically-motivated cognitive behavioural studies of language function, and papers which integrate cognitive theoretical accounts of language with its neurobiological foundations. The study of language function from a cognitive neuroscience perspective has attracted intensive research interest over the last 20 years, and the development of neuroscience methodologies has significantly broadened the empirical scope of all language research. Both hemodynamic imaging and electrophysiological approaches provide new perspectives on the representation and processing of language, and place important constraints on the development of theoretical accounts of language function and its neurobiological context.